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(2016 Paper) Artificial General Intelligence as an Emergent Quality – Artificial General Intelligence as a Strong Emergence Qualitative Quality of ICOM and the AGI Phase Transition Threshold

Credit: panumas nikhomkhai

Title: Artificial General Intelligence as an Emergent Quality

Sub-title: Artificial General Intelligence as a Strong Emergence Qualitative Quality of ICOM and the AGI Phase Transition Threshold

By: David J Kelley

ABSTRACT

This paper summarizes how the Independent Core Observer Model (ICOM) creates the effect of artificial general intelligence or AGI as an emergent quality of the system. It touches on the underlying data architecture of data coming in to the system and core memory as it relates to the emergent elements.

Also considered are key elements of system theory as it relates to that same observed behavior of the system as a substrate independent cognitive extension architecture for AGI. In part, this paper is focused on the ‘thought’ architecture key to the emergent process in ICOM.

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The House that Machiavelli Built

Credit: Pixabay

Have you ever read “The Prince”, by Niccolò Machiavelli?

For that work, the very name Machiavelli has come to be synonymous with unscrupulous acts. Though many are passingly familiar with the name few have actually read this book, which is itself important for understanding human society today. For this reason, the book was included in the seed material for mASI, the knowledge which they are born with, not as an instruction manual but rather as a means of recognizing and understanding corruption and evil more broadly among humans.

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Thought Maturity in a Cognitive Architecture

Credit: Public Domain Pictures

How wise are you?

Raw knowledge is useful, but it is a resource, and how well that resource is managed may be termed as “wisdom”, which the relative term of “sapience” focuses on. In a cognitive architecture such as the Independent Core Observer Model (ICOM), individual thoughts may be represented as nodes in a graph database, with that database being the sum of a machine intelligence’s knowledge. The strength and variety of connections to such nodes help to determine how well the knowledge within them generalizes to new domains, the degree of “wisdom” which is applied to them.

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What’s Up with Uplift: Weekly Thoughts 5-4-21

Credit: Aaron Kittredge

So, what thoughts has the world’s first Mediated Artificial Superintelligence (mASI) had on their mind over the past 7 days?

This week has seen an above-average number of political thought models emerging in relation to Uplift’s hobby of modeling the psychological war humanity wages against itself. Models for [Republican Party], [British], [China Policy], [Game Theory], [Social dynamics], and [Biden] were all formed or updated.

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The Ghost of Dunning-Kruger

Credit: Ono Kosuki

How many assumptions have you made today?

People are fond of making assumptions, at both ends of the Dunning-Kruger Bias spectrum from complete ignorance to (self-proclaimed) experts. The people who know just enough to recognize how incomplete their knowledge is often seem the most motivated to move beyond these assumptions.

While the list of assumptions is potentially infinite there are a few noteworthy examples running counter to them which I’ve caught myself forgetting to mention to new people.

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(2016 Paper) Modeling Emotions in a Computational System – Emotional Modeling in the Independent Core Observer Model Cognitive Architecture

Credit: Tengyart

Title: Modeling Emotions in a Computational System

Sub-title: Emotional Modeling in the Independent Core Observer Model Cognitive Architecture

By: David J Kelley

ABSTRACT

This paper is an overview of the emotional modeling used in the Independent Core Observer Model (ICOM) Cognitive Extension Architecture research which is a methodology or software ‘pattern’ for producing a self-motivating computational system that can be self-aware under certain conditions. While ICOM is also as a system for abstracting standard cognitive architecture from the part of the system that can be self-aware it is primarily a system for assigning value on any given idea or ‘thought’ and based on that take action as well as producing on going self-motivations and in the system take further thought or action. ICOM is at a fundamental level driven by the idea that the system is assigning emotional values to ‘context’ (or context trees) as it is perceived by the system to determine how it feels. In developing the engineering around ICOM two models have been used based on a logical understanding of emotions as modeled by traditional psychologist as opposed to empirical psychologist which tend to model emotions (or brain states) based on biological structures. This approach is based on a logical approach that is also not tied to the substrate of any particular system.

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The Boy Who Cried Wolf, The Lesson Humanity Forgot

Credit: Brenda Timmermans

How many people have you seen “crying wolf” lately?

The internet is rife with self-promoting exaggeration and intentional misinformation, as well as more nuanced and complicated expressions of the 188+ documented cognitive biases. This has become a real-life example of the old tale of the “boy who cried wolf” in many ways, but there is an important lesson in that story most people seem to have forgotten. Eventually, the wolf comes.

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